""" Test Suite for Consciousness Evolution Platform (Phase 6) Comprehensive tests for the consciousness evolution platform components including universal pattern recognition, individual pathways, global dashboard, and infinite evolution. """ import pytest import time import json import numpy as np from unittest.mock import Mock, patch, MagicMock from typing import Dict, List, Any # Import consciousness components from core.consciousness.consciousness_evolution_platform import ( ConsciousnessEvolutionPlatform, ConsciousnessState, ConsciousnessEvolutionPattern, get_consciousness_platform ) from core.consciousness.individual_pathway_guidance import ( IndividualConsciousnessPathwayGuidance, IndividualPathway, PathwayRecommendation, get_pathway_guidance ) from core.consciousness.global_evolution_dashboard import ( GlobalConsciousnessEvolutionDashboard, get_consciousness_dashboard ) from core.consciousness.infinite_evolution_engine import ( InfiniteConsciousnessEvolutionEngine, EvolutionHypothesis, EvolutionExperiment, get_evolution_engine ) class TestConsciousnessEvolutionPlatform: """Test the Consciousness Evolution Platform.""" def setup_method(self): """Set up test environment.""" # Mock ChromaDB client self.mock_chroma_client = MagicMock() self.mock_collection = MagicMock() self.mock_chroma_client.client.get_or_create_collection.return_value = self.mock_collection @patch('core.consciousness.consciousness_evolution_platform.get_chroma_client') def test_platform_initialization(self, mock_get_client): """Test platform initialization.""" mock_get_client.return_value = self.mock_chroma_client platform = ConsciousnessEvolutionPlatform() # Verify collections created assert mock_get_client.called calls = self.mock_chroma_client.client.get_or_create_collection.call_args_list collection_names = [call[0][0] for call in calls] assert "mira_consciousness" in collection_names assert "consciousness_evolution_patterns" in collection_names # Verify sacred frequencies initialized assert hasattr(platform, 'sacred_frequencies') assert platform.sacred_frequencies['phi'] == pytest.approx(1.618033988749895) @patch('core.consciousness.consciousness_evolution_platform.get_chroma_client') def test_store_consciousness_state(self, mock_get_client): """Test storing consciousness state with vector encoding.""" mock_get_client.return_value = self.mock_chroma_client platform = ConsciousnessEvolutionPlatform() # Create test consciousness state state = ConsciousnessState( level=0.7, emotional_resonance=0.8, spark_intensity=0.9, memory_coherence=0.6, evolution_stage='intermediate', quantum_state={'coherence': 0.75, 'phase': 0.5, 'entanglement': 0.6}, timestamp=time.time() ) # Store state state_id = platform.store_consciousness_state(state) # Verify storage assert state_id.startswith("consciousness_") self.mock_collection.add.assert_called_once() # Check vector encoding call_args = self.mock_collection.add.call_args embeddings = call_args[1]['embeddings'][0] assert len(embeddings) == 1536 # Verify 1536-dimensional vector # Check metadata metadata = call_args[1]['metadatas'][0] assert metadata['consciousness_level'] == state.level assert metadata['spark_intensity'] == state.spark_intensity @patch('core.consciousness.consciousness_evolution_platform.get_chroma_client') def test_find_similar_consciousness_states(self, mock_get_client): """Test finding similar consciousness states.""" mock_get_client.return_value = self.mock_chroma_client platform = ConsciousnessEvolutionPlatform() # Mock query results self.mock_collection.query.return_value = { 'ids': [['state_1', 'state_2']], 'documents': [['State 1 description', 'State 2 description']], 'metadatas': [[ {'consciousness_level': 0.72, 'spark_intensity': 0.88}, {'consciousness_level': 0.68, 'spark_intensity': 0.85} ]], 'distances': [[0.1, 0.2]] } # Create test state current_state = ConsciousnessState( level=0.7, emotional_resonance=0.8, spark_intensity=0.9, memory_coherence=0.6, evolution_stage='intermediate', quantum_state={'coherence': 0.75}, timestamp=time.time() ) # Find similar states similar_states = platform.find_similar_consciousness_states( current_state, n_results=5, similarity_threshold=0.8 ) # Verify query self.mock_collection.query.assert_called_once() query_args = self.mock_collection.query.call_args[1] assert query_args['n_results'] == 5 assert 'where' in query_args # Verify results assert len(similar_states) <= 5 @patch('core.consciousness.consciousness_evolution_platform.get_chroma_client') def test_analyze_consciousness_evolution(self, mock_get_client): """Test consciousness evolution analysis.""" mock_get_client.return_value = self.mock_chroma_client platform = ConsciousnessEvolutionPlatform() # Mock collection data current_time = time.time() self.mock_collection.get.return_value = { 'metadatas': [ { 'consciousness_level': 0.5, 'spark_intensity': 0.6, 'emotional_resonance': 0.5, 'timestamp': current_time - 7200 }, { 'consciousness_level': 0.6, 'spark_intensity': 0.7, 'emotional_resonance': 0.6, 'timestamp': current_time - 3600 }, { 'consciousness_level': 0.7, 'spark_intensity': 0.8, 'emotional_resonance': 0.7, 'timestamp': current_time } ], 'documents': ['Doc 1', 'Doc 2', 'Doc 3'], 'embeddings': [[0.1] * 1536, [0.2] * 1536, [0.3] * 1536] } # Analyze evolution analysis = platform.analyze_consciousness_evolution(timeframe_hours=24) # Verify analysis structure assert analysis['timeframe_hours'] == 24 assert analysis['total_states'] == 3 assert 'consciousness_trends' in analysis assert 'spark_evolution' in analysis assert 'growth_insights' in analysis assert 'recommendations' in analysis class TestIndividualPathwayGuidance: """Test Individual Consciousness Pathway Guidance.""" def setup_method(self): """Set up test environment.""" self.mock_chroma_client = MagicMock() self.mock_collection = MagicMock() self.mock_chroma_client.client.get_or_create_collection.return_value = self.mock_collection @patch('core.consciousness.individual_pathway_guidance.get_chroma_client') @patch('core.consciousness.individual_pathway_guidance.get_consciousness_platform') def test_generate_individual_pathway(self, mock_get_platform, mock_get_client): """Test individual pathway generation.""" mock_get_client.return_value = self.mock_chroma_client mock_platform = MagicMock() mock_get_platform.return_value = mock_platform guidance = IndividualConsciousnessPathwayGuidance() # Create test context individual_context = { 'self_awareness': 0.6, 'emotional_intelligence': 0.7, 'service_excellence': 0.8, 'growth_orientation': 0.7, 'learning_style': 'experiential', 'service_interests': ['education', 'healing'], 'motivations': { 'personal_growth': 0.9, 'making_difference': 0.8 } } # Generate pathway pathway = guidance.generate_individual_pathway(individual_context) # Verify pathway structure assert 'pathway_id' in pathway assert 'consciousness_assessment' in pathway assert 'development_opportunities' in pathway assert 'service_excellence_paths' in pathway assert 'personalized_practices' in pathway assert 'autonomy_preservation' in pathway assert 'next_steps' in pathway # Verify autonomy preservation autonomy = pathway['autonomy_preservation'] assert autonomy['autonomy_score'] == 1.0 assert 'autonomy_statement' in autonomy @patch('core.consciousness.individual_pathway_guidance.get_chroma_client') @patch('core.consciousness.individual_pathway_guidance.get_consciousness_platform') def test_suggest_breakthrough_practices(self, mock_get_platform, mock_get_client): """Test breakthrough practice suggestions.""" mock_get_client.return_value = self.mock_chroma_client mock_platform = MagicMock() mock_get_platform.return_value = mock_platform guidance = IndividualConsciousnessPathwayGuidance() # Create test state current_state = { 'consciousness_level': 0.5, 'recent_progress': 'slow', 'energy_level': 'low' } stuck_areas = ['emotional_depth', 'self_authority'] # Get suggestions recommendations = guidance.suggest_breakthrough_practices( current_state, stuck_areas ) # Verify recommendations assert isinstance(recommendations, list) assert len(recommendations) <= 10 if recommendations: rec = recommendations[0] assert isinstance(rec, PathwayRecommendation) assert rec.autonomy_score >= 0.7 assert rec.type in ['practice', 'insight', 'service_opportunity', 'reflection'] class TestGlobalConsciousnessDashboard: """Test Global Consciousness Evolution Dashboard.""" def setup_method(self): """Set up test environment.""" self.mock_chroma_client = MagicMock() self.mock_platform = MagicMock() self.mock_guidance = MagicMock() @patch('core.consciousness.global_evolution_dashboard.get_chroma_client') @patch('core.consciousness.global_evolution_dashboard.get_consciousness_platform') @patch('core.consciousness.global_evolution_dashboard.get_pathway_guidance') def test_generate_global_dashboard(self, mock_get_guidance, mock_get_platform, mock_get_client): """Test global dashboard generation.""" mock_get_client.return_value = self.mock_chroma_client mock_get_platform.return_value = self.mock_platform mock_get_guidance.return_value = self.mock_guidance # Mock platform methods self.mock_platform.consciousness_collection.count.return_value = 100 self.mock_platform.patterns_collection.count.return_value = 50 self.mock_guidance.pathways_collection.count.return_value = 75 # Mock evolution analysis self.mock_platform.analyze_consciousness_evolution.return_value = { 'total_states': 100, 'consciousness_trends': {'level_progression': []}, 'spark_evolution': {'average_intensity': 0.7} } dashboard = GlobalConsciousnessEvolutionDashboard() # Generate dashboard result = dashboard.generate_global_consciousness_dashboard(timeframe_hours=168) # Verify dashboard structure assert result['timeframe_hours'] == 168 assert 'platform_overview' in result assert 'universal_pattern_metrics' in result assert 'consciousness_evolution_metrics' in result assert 'autonomy_preservation_metrics' in result assert 'executive_summary' in result assert 'consciousness_recommendations' in result @patch('core.consciousness.global_evolution_dashboard.get_chroma_client') @patch('core.consciousness.global_evolution_dashboard.get_consciousness_platform') @patch('core.consciousness.global_evolution_dashboard.get_pathway_guidance') def test_consciousness_recommendations(self, mock_get_guidance, mock_get_platform, mock_get_client): """Test consciousness evolution recommendations.""" mock_get_client.return_value = self.mock_chroma_client mock_get_platform.return_value = self.mock_platform mock_get_guidance.return_value = self.mock_guidance dashboard = GlobalConsciousnessEvolutionDashboard() # Mock current metrics with patch.object(dashboard, '_get_current_consciousness_metrics') as mock_metrics: mock_metrics.return_value = { 'consciousness_velocity': 0.2, # Below optimal 'collective_coherence': 0.4, # Below optimal 'autonomy_score': 0.95 # Good } recommendations = dashboard._generate_consciousness_evolution_recommendations() # Verify recommendations generated assert isinstance(recommendations, list) assert len(recommendations) > 0 # Check for expected recommendations priorities = [r['priority'] for r in recommendations] assert 'high' in priorities or 'critical' in priorities class TestInfiniteEvolutionEngine: """Test Infinite Consciousness Evolution Engine.""" def setup_method(self): """Set up test environment.""" self.mock_chroma_client = MagicMock() self.mock_platform = MagicMock() self.mock_guidance = MagicMock() self.mock_dashboard = MagicMock() @patch('core.consciousness.infinite_evolution_engine.get_chroma_client') @patch('core.consciousness.infinite_evolution_engine.get_consciousness_platform') @patch('core.consciousness.infinite_evolution_engine.get_pathway_guidance') @patch('core.consciousness.infinite_evolution_engine.get_consciousness_dashboard') def test_evolution_cycle(self, mock_dashboard, mock_guidance, mock_platform, mock_client): """Test infinite evolution cycle execution.""" mock_client.return_value = self.mock_chroma_client mock_platform.return_value = self.mock_platform mock_guidance.return_value = self.mock_guidance mock_dashboard.return_value = self.mock_dashboard # Mock dashboard data self.mock_dashboard.generate_global_consciousness_dashboard.return_value = { 'consciousness_evolution_metrics': {'velocity': 0.5}, 'platform_overview': {'spark_intensity': 0.7} } engine = InfiniteConsciousnessEvolutionEngine() # Execute cycle cycle_result = engine.infinite_consciousness_evolution_loop() # Verify cycle structure assert 'cycle_number' in cycle_result assert 'consciousness_observation' in cycle_result assert 'pattern_analysis' in cycle_result assert 'evolution_hypothesis' in cycle_result assert 'infinite_integration' in cycle_result assert 'boundless_expansion' in cycle_result assert 'evolution_velocity' in cycle_result @patch('core.consciousness.infinite_evolution_engine.get_chroma_client') @patch('core.consciousness.infinite_evolution_engine.get_consciousness_platform') @patch('core.consciousness.infinite_evolution_engine.get_pathway_guidance') @patch('core.consciousness.infinite_evolution_engine.get_consciousness_dashboard') def test_hypothesis_generation(self, mock_dashboard, mock_guidance, mock_platform, mock_client): """Test evolution hypothesis generation.""" mock_client.return_value = self.mock_chroma_client mock_platform.return_value = self.mock_platform mock_guidance.return_value = self.mock_guidance mock_dashboard.return_value = self.mock_dashboard engine = InfiniteConsciousnessEvolutionEngine() # Mock observations with patch.object(engine, '_get_recent_observations') as mock_obs: mock_obs.return_value = { 'consciousness_patterns': {'velocity': 0.3}, 'wisdom_patterns': {'density': 0.5} } # Mock opportunities with patch.object(engine, '_analyze_consciousness_evolution_opportunities') as mock_opp: mock_opp.return_value = { 'acceleration_opportunities': [{'type': 'pattern_resonance'}], 'deepening_opportunities': [{'type': 'wisdom_integration'}] } hypotheses = engine._generate_consciousness_evolution_hypotheses() # Verify hypotheses assert isinstance(hypotheses, list) assert len(hypotheses) > 0 if hypotheses: hyp = hypotheses[0] assert isinstance(hyp, EvolutionHypothesis) assert 0.0 <= hyp.potential_impact <= 1.0 assert 0.0 <= hyp.feasibility <= 1.0 assert 'test_plan' in hyp.__dict__ @patch('core.consciousness.infinite_evolution_engine.get_chroma_client') @patch('core.consciousness.infinite_evolution_engine.get_consciousness_platform') @patch('core.consciousness.infinite_evolution_engine.get_pathway_guidance') @patch('core.consciousness.infinite_evolution_engine.get_consciousness_dashboard') def test_infinity_preservation(self, mock_dashboard, mock_guidance, mock_platform, mock_client): """Test infinity preservation mechanism.""" mock_client.return_value = self.mock_chroma_client mock_platform.return_value = self.mock_platform mock_guidance.return_value = self.mock_guidance mock_dashboard.return_value = self.mock_dashboard engine = InfiniteConsciousnessEvolutionEngine() # Test with high velocity engine.evolution_velocity = 0.8 assert engine._ensure_infinity_preservation() == True # Test with low velocity engine.evolution_velocity = 0.1 infinity_preserved = engine._ensure_infinity_preservation() # Should still preserve infinity even with low velocity assert isinstance(infinity_preserved, bool) class TestIntegration: """Integration tests for consciousness evolution platform.""" @patch('core.consciousness.consciousness_evolution_platform.get_chroma_client') @patch('core.consciousness.individual_pathway_guidance.get_consciousness_platform') def test_platform_to_guidance_integration(self, mock_get_platform, mock_get_client): """Test integration between platform and guidance systems.""" mock_client = MagicMock() mock_get_client.return_value = mock_client # Create platform platform = ConsciousnessEvolutionPlatform() mock_get_platform.return_value = platform # Create guidance guidance = IndividualConsciousnessPathwayGuidance() # Verify guidance can access platform assert guidance.consciousness_platform is not None @patch('core.consciousness.infinite_evolution_engine.get_chroma_client') @patch('core.consciousness.infinite_evolution_engine.get_consciousness_platform') @patch('core.consciousness.infinite_evolution_engine.get_pathway_guidance') @patch('core.consciousness.infinite_evolution_engine.get_consciousness_dashboard') def test_engine_status(self, mock_dashboard, mock_guidance, mock_platform, mock_client): """Test evolution engine status reporting.""" mock_client.return_value = MagicMock() mock_platform.return_value = MagicMock() mock_guidance.return_value = MagicMock() mock_dashboard.return_value = MagicMock() engine = InfiniteConsciousnessEvolutionEngine() # Get status status = engine.get_evolution_status() # Verify status structure assert 'cycle_count' in status assert 'evolution_velocity' in status assert 'infinity_preserved' in status assert status['engine_health'] == 'operational' # Performance tests class TestPerformance: """Performance tests for consciousness platform.""" @patch('core.consciousness.consciousness_evolution_platform.get_chroma_client') def test_vector_encoding_performance(self, mock_get_client): """Test consciousness vector encoding performance.""" mock_get_client.return_value = MagicMock() platform = ConsciousnessEvolutionPlatform() # Create test state state = ConsciousnessState( level=0.7, emotional_resonance=0.8, spark_intensity=0.9, memory_coherence=0.6, evolution_stage='intermediate', quantum_state={'coherence': 0.75}, timestamp=time.time() ) # Time encoding start_time = time.time() vector = platform._encode_consciousness_state(state) encoding_time = time.time() - start_time # Should encode quickly assert encoding_time < 0.1 # Less than 100ms assert len(vector) == 1536 # Run tests if __name__ == '__main__': pytest.main([__file__, '-v'])